An improved particle swarm optimization algorithm with adaptive weighted delay velocity

Systems Science & Control Engineering

Lin Xu¹  Maoyong Cao¹  Baoye Song¹ 

[1] Shandong University of Science and Technology;

关键词: pso;    particle swarm optimization;    adaptive weighted delay velocity;    intelligent optimization algorithm;   

DOI  :  10.1080/21642583.2021.1891153

来源: DOAJ

【 摘 要 】

An improved particle swarm optimization (PSO) with adaptive weighted delay velocity (PSO-AWDV) is proposed in this paper. A new scheme blending weighted delay velocity is firstly presented for a new PSO with weighted delay velocity (PSO-WDV) algorithm. Then, to adaptively update the velocity inertia weight, an adaptive PSO-AWDV algorithm is developed based on the evolutionary state of the particle swarm evaluated via a new estimation method. The newly proposed adaptive PSO-AWDV algorithm is tested based on some famous benchmark functions, which can confirm that the performance of PSO-AWDV is superior to several well-known PSO variants and intelligent optimization algorithms in literature.

【 授权许可】

Unknown